{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ 每一行是一个test case，每一列是一个训练用样本。很亮的行是这个测试样例和所有训练样本差距都很大，很亮的列是这个训练样本和所有测试样例差距都很大\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=10)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_132364\\1260493553.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;31m# with one loop. Implement the function compute_distances_one_loop and run the\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;31m# code below:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mdists_one\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclassifier\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompute_distances_one_loop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_test\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[1;31m# To ensure that our vectorized implementation is correct, we make sure that it\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mf:\\workspace\\tensor\\assignment1_colab\\assignment1\\cs231n\\classifiers\\k_nearest_neighbor.py\u001b[0m in \u001b[0;36mcompute_distances_one_loop\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    110\u001b[0m             \u001b[1;31m# print(test_point.shape)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    111\u001b[0m             \u001b[0mdist\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mX_train\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mtest_point\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 112\u001b[1;33m             \u001b[0mdists\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msqrt\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdist\u001b[0m \u001b[1;33m**\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    113\u001b[0m             \u001b[1;31m# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    114\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mdists\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "no_loop",
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 17.258600 seconds\n",
      "One loop version took 55.971293 seconds\n",
      "No loop version took 0.220630 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 263.000000\n",
      "k = 1, accuracy = 257.000000\n",
      "k = 1, accuracy = 264.000000\n",
      "k = 1, accuracy = 278.000000\n",
      "k = 1, accuracy = 266.000000\n",
      "k = 3, accuracy = 239.000000\n",
      "k = 3, accuracy = 249.000000\n",
      "k = 3, accuracy = 240.000000\n",
      "k = 3, accuracy = 266.000000\n",
      "k = 3, accuracy = 254.000000\n",
      "k = 5, accuracy = 248.000000\n",
      "k = 5, accuracy = 266.000000\n",
      "k = 5, accuracy = 280.000000\n",
      "k = 5, accuracy = 292.000000\n",
      "k = 5, accuracy = 280.000000\n",
      "k = 8, accuracy = 262.000000\n",
      "k = 8, accuracy = 282.000000\n",
      "k = 8, accuracy = 273.000000\n",
      "k = 8, accuracy = 290.000000\n",
      "k = 8, accuracy = 273.000000\n",
      "k = 10, accuracy = 265.000000\n",
      "k = 10, accuracy = 296.000000\n",
      "k = 10, accuracy = 276.000000\n",
      "k = 10, accuracy = 284.000000\n",
      "k = 10, accuracy = 280.000000\n",
      "k = 12, accuracy = 260.000000\n",
      "k = 12, accuracy = 295.000000\n",
      "k = 12, accuracy = 279.000000\n",
      "k = 12, accuracy = 283.000000\n",
      "k = 12, accuracy = 280.000000\n",
      "k = 15, accuracy = 252.000000\n",
      "k = 15, accuracy = 289.000000\n",
      "k = 15, accuracy = 278.000000\n",
      "k = 15, accuracy = 282.000000\n",
      "k = 15, accuracy = 274.000000\n",
      "k = 20, accuracy = 270.000000\n",
      "k = 20, accuracy = 279.000000\n",
      "k = 20, accuracy = 279.000000\n",
      "k = 20, accuracy = 282.000000\n",
      "k = 20, accuracy = 285.000000\n",
      "k = 50, accuracy = 271.000000\n",
      "k = 50, accuracy = 288.000000\n",
      "k = 50, accuracy = 278.000000\n",
      "k = 50, accuracy = 269.000000\n",
      "k = 50, accuracy = 266.000000\n",
      "k = 100, accuracy = 256.000000\n",
      "k = 100, accuracy = 270.000000\n",
      "k = 100, accuracy = 263.000000\n",
      "k = 100, accuracy = 256.000000\n",
      "k = 100, accuracy = 263.000000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "X_train_folds = np.array_split(X_train, num_folds)\n",
    "y_train_folds = np.array_split(y_train, num_folds)\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "for k in k_choices:\n",
    "    accuracies = []\n",
    "    for j in range(num_folds):\n",
    "        X_val = X_train_folds[j]\n",
    "        y_val = y_train_folds[j]\n",
    "\n",
    "        X = np.vstack(X_train_folds[:j] + X_train_folds[j+1:])\n",
    "        y = np.hstack(y_train_folds[:j] + y_train_folds[j+1:])\n",
    "        \n",
    "        classifier.train(X, y)\n",
    "        y_pred = classifier.predict(X_val, k=k, num_loops=0)\n",
    "        accuracies.append(np.sum(y_val == y_pred))\n",
    "    k_to_accuracies[k] = accuracies\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "id": "cross_validation"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 10\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than or equal to that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n"
   ]
  }
 ],
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